Data analysis device and data analysis method

Abstract

A data analysis device which collects sensor data in time series from a sensor attached to a user during movement in a course having a plurality of sections where two adjacent sections are connected to each other and shapes along extended directions of the sections connected to each other are different from each other, estimates times of section change points based on the sensor data, estimates a movement speed at each section, based on times of each of the plurality of the section change points and a distance value of each section, calculates differences between movement speeds at two sections connected to each other, and adjusts the movement speeds to appropriate values by adjusting at least one of the plurality of section change points so as to reduce a value of sum total of the differences.

Description

technical field [0001] The present invention relates to a data analysis device and a data analysis method, which are used to provide visualization of the action state (exercise state) of the human body during exercise. Background technique [0002] In recent years, the number of people who maintain and improve their health through daily running, walking, cycling, etc. has increased in the context of increased health awareness. There is also an increase in the number of people who aim to participate in competitive sports such as marathons through daily exercise. Such people have a very high awareness or interest in measuring and recording various human body information or exercise information with numerical values ​​or data in order to grasp their own health status or exercise status. A population targeted for participation in a competitive sporting event has a very high level of awareness or interest in efficient and effective training methods in order to perform well in th...

AI Technical Summary

Problems solved by technology

However, in the above-mentioned method, GPS signals cannot be obtained or cannot be obtained normally in houses or low-lying places between buildings where it is difficult to receive GPS electric waves.

In this case, the accuracy of the calculated moving speed, moving distance, stride, etc. is greatly reduced, so that it is impossible to accurately grasp the state of motion or to judge and improve it.

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